AWS Cloud Engineer

2 weeks ago

Pune, Maharashtra, India GK HR Consulting India Private Limited Full time
Job Description

Role: We are seeking a highly skilled and experienced AWS Cloud Engineer to join our team. The ideal candidate will have a strong background in cloud computing, with a focus on AWS services such as EC3, S3, Redshift, RDS, AWS Glue/EMR, Python, PySpark, SQL, Airflow, and Visualization tools & Databricks.

Responsibilities:

  • Design and implement data modeling, data ingestion, and data processing for various datasets.
  • Develop and maintain ETL frameworks for various new data sources.
  • Ability to migrate existing Talend ETL workflows into new ETL frameworks using AWS Glue/EMR PySpark and/or data pipeline using Python.
  • Build orchestration workflows using Airflow.
  • Develop and execute ad-hoc data ingestion to support business analytics.
  • Proactively interact with vendors for any questions and report the status accordingly.
  • Explore and evaluate tools/services to support business requirements.
  • Ability to learn to create a data-driven culture and impactful data strategies.
  • Aptitude towards learning new technologies and solving complex problems.
  • Connect with customers to get requirements and ensure timely delivery.

Qualifications:

  • Minimum of a bachelor's degree. Preferably in Computer Science, Information Systems, or Information Technology.
  • Minimum 8 years of experience on cloud platforms such as AWS, Azure, GCP.
  • Minimum 8 years of experience in Amazon Web Services like VPC, S3, EC3, Redshift, RDS, EMR, Athena, IAM, Glue, DMS, Data pipeline & API Lambda, etc.
  • Minimum of 8 years of experience in ETL and data engineering using Python, AWS Glue, AWS EMR/PySpark, Talend, and Airflow for orchestration.
  • Minimum 8 years of experience in SQL, Python, and source control such as Bitbucket, CICD for code deployment.
  • Experience in PostgreSQL, SQL Server, MySQL, and Oracle databases.
  • Experience in MPP such as AWS Redshift and EMR.
  • Experience in distributed programming with Python, Unix Scripting, MPP RDBMS databases for data integration.
  • Experience building distributed high-performance systems using Spark/PySpark, AWS Glue, and developing applications for loading/streaming data into databases Redshift.
  • Experience in Agile methodology.
  • Proven skills to write technical specifications for data extraction and good-quality code.
  • Experience with big data processing techniques using Sqoop, Spark, Hive is an additional plus.
  • Experience in analytic visualization tools.
  • Design of data solutions on Databricks including delta lake data warehouse data marts and other data solutions to support the analytics needs of the organization.
  • Should be an individual contributor with experience in above-mentioned technologies.
  • Should be able to lead the offshore team and can ensure on-time delivery, code review, and work management among team members.
  • Should have experience in customer communication.

Job Description (Sr. Developer Position)

Role: Sr. developer position with primary skillsets on AWS services with experience on EC3, S3, Redshift, RDS, AWS Glue/EMR, Python, PySpark, SQL, Airflow, Visualization tools & Databricks. He/she will be responsible to play a key role in designing, developing, and optimizing data integration solutions using AWS Glue and responsible to leverage their expertise in Python, PySpark, and AWS services to drive the success of critical projects.

Must have:

  • 4 years of experience in AWS Glue and proficiency in one or more of the following: Spark, Scala, Python, and/or R with experience in data manipulation and transformation.
  • Perform performance testing and optimization of AWS Glue jobs to meet performance and throughput requirements.
  • Implement best practices for AWS Glue development to ensure scalability, reliability, and maintainability.
  • Configure AWS Glue to integrate with database interfaces such as Redshift.
  • Hands-on experience in SQL and experience in ETL methodology.
  • Design, develop, and deploy ETL processes using AWS Glue, Python, and PySpark to extract, transform, and load data from S3 sources handling various flat files.
  • Experience in working with AWS services S3/ATHENA/EMR/VPC/EC3.
  • Experience in analytic visualization tools.
  • Design of data solutions on Databricks including delta lake data warehouse data marts and other data solutions to support the analytics needs of the organization.
  • Strong problem-solving skills and the ability to analyze and interpret complex data structures.
  • Excellent attention to detail and a commitment to delivering high-quality accurate data.
  • Work on optimizing Spark jobs that process huge volumes of data.
  • Work to monitor and troubleshoot data extraction and ETL processes to ensure data quality and integrity.
  • Collaborate with teams to gather requirements, design solutions, and troubleshoot issues related to data integration and transformation.
  • Work in a dynamic and fast-paced AWS environment while designing and building client-facing products and solutions.
  • Experience in communicating with stakeholders, other technical teams, and management to collect requirements, describe software product features, technical designs, and product strategy.
  • Working knowledge of distributed systems and a willingness to jump in and learn what is happening in the backend code.
  • A solid grasp of fundamental algorithms and applications.
  • Provide technical guidance and mentorship to junior team members, fostering a culture of knowledge sharing and continuous learning.
  • Good communication skills, both oral and written.

Engage and develop relationships with key partners and stakeholders to clearly understand the specific business &/or technology challenges, initiatives, and questions to be answered.

AWS services with experience on EC3, S3, Redshift, RDS, AWS Glue/EMR, Python, PySpark, SQL, Airflow, Visualization tools & Databricks.

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